mem0-tour

mem0-tour is a skill for Claude Code, Codex from mem0ai/mem0. It costs 47 tokens per session (1,725 once invoked), scanned A, original, Apache-2.0.

A tool for reviewing stored mem0 memories, grouped by project and category. Categories can include decisions, conventions, and lessons learned.

In plain words
What is it for?
Use it to browse one project's memories, search within them, or review memories across all projects.
Why use it?
It gives an overview of what the agent already knows before work begins or when someone is learning an unfamiliar project.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions OpenCode.

Good fit Use it to browse one project's memories, search within them, or review memories across all projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mem0ai/mem0/mem0-tour
About the project

mem0 is memory infrastructure that lets AI agents and applications store and retrieve information across interactions. It supports agents and developers who need persistent context for AI systems.

mem0ai/mem0 · 64,961 stars · on GitHub · mem0.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mem0ai/mem0 --skill mem0-tour
Clone the repo
git clone --depth 1 https://github.com/mem0ai/mem0

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mem0-tour

README.md
[![agentmods](https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-tour/github.svg)](https://agentmods.dev/skills/mem0ai/mem0/mem0-tour)
Your own site
<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-tour/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mem0-tour

Your own site · 80×15
<a href="https://agentmods.dev/skills/mem0ai/mem0/mem0-tour"><img src="https://agentmods.dev/badge/skills/mem0ai/mem0/mem0-tour.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,725 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk pass 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.01725
Opus 5 $0.00023 $0.00863
Sonnet 5 $0.00009 $0.00345
Haiku 4.5 $0.00005 $0.00172

Measured 10d ago against content hash 456199748ff4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

mem0-tour scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • tour — 97% identical, 57 lines differ
integrations/opencode-plugin/opencode-skills/mem0-tour/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mem0 Project Tour

Show the user what mem0 has stored for the current project.

Cross-project mode

When invoked with --all-projects (e.g., /mem0-tour --all-projects or /mem0-tour --all-projects auth middleware), search across ALL projects:

  1. Call get_memories with filters={"AND": [{"user_id": "<active_user_id>"}]}, page_size=200no app_id filter.
  2. If a search query was also provided, run search_memories with query=<query>, filters={"AND": [{"user_id": "<active_user_id>"}]}, top_k=20 — again no app_id.
  3. Group results by app_id first, then by category within each project.
  4. Display:
    ## <app_id_1> (<N> memories) ← current
    **Architecture Decisions** — <memory content>
    ...
    
    ## <app_id_2> (<N> memories)
    ...
    
    <N> memories across <M> projects
    
  5. Mark the current project with ← (current) in the heading.

If --all-projects is NOT present, use the standard single-project flow below.

When /mem0-tour receives a search query argument (e.g., /mem0-tour auth middleware) WITHOUT --all-projects, run in peek mode — compact one-liner results:

  1. Run 2 parallel search_memories calls:
    • Broad: query=<query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true
    • Targeted: query=<query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}, top_k=5, rerank=true
  2. Deduplicate by ID, display compact results:
    ## mem0 search: "<query>" (<N> results)
    
    1. [decision] Auth module uses JWT with RS256 keys (2025-05-15) [mem0:a3f8b2c1]
    2. [anti_pattern] Don't use symmetric HS256 — leaked in env (2025-05-10) [mem0:7e2d9f4a]
    3. [convention] All middleware in src/middleware/ (2025-05-08) [mem0:c4d5e6f7]
    
    Format: <number>. [<type>] <content, 80 chars> (<date>) [mem0:<short_id>]
  3. If no results: No memories matching "<query>" for project <project_id>.

Read the full file on GitHub · 157 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 157 lines · 47 tokens per session scan A 456199748ff4

Subscribe to this mod's changes

mem0-tour is a skill published in the GitHub repository mem0ai/mem0 (64,961 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 1,725 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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